Improved normalization of systematic biases affecting ion current measurements in label-free proteomics data.
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Penicillium echinulatum secretome analysis reveals the fungi potential for degradation of lignocellulosic biomassICan: an optimized ion-current-based quantification procedure with enhanced quantitative accuracy and sensitivity in biomarker discoveryDeMix-Q: Quantification-Centered Data Processing Workflow.MetTailor: dynamic block summary and intensity normalization for robust analysis of mass spectrometry data in metabolomics.mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometryPeptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics.
P2860
Improved normalization of systematic biases affecting ion current measurements in label-free proteomics data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Improved normalization of syst ...... in label-free proteomics data.
@ast
Improved normalization of syst ...... in label-free proteomics data.
@en
type
label
Improved normalization of syst ...... in label-free proteomics data.
@ast
Improved normalization of syst ...... in label-free proteomics data.
@en
prefLabel
Improved normalization of syst ...... in label-free proteomics data.
@ast
Improved normalization of syst ...... in label-free proteomics data.
@en
P2093
P2860
P356
P1476
Improved normalization of syst ...... in label-free proteomics data.
@en
P2093
Nell Sedransk
Paul A Rudnick
Stephen E Stein
Xinjian Yan
P2860
P304
P356
10.1074/MCP.M113.030593
P577
2014-02-21T00:00:00Z